Medical Specialist

Innodata Lanka; Teletrabalho; BRL 20.000 - 35.000; Tempo parcial

Resumo da oferta

A healthcare IT firm is seeking a Generative AI Associate Analyst with a Master's or PhD in Medical Microbiology to evaluate AI responses in the medical field. This part-time role involves assessing the accuracy of AI-generated content, especially related to microbial sciences. The analyst will categorize outputs and create real-world scenarios to enhance AI learning in healthcare contexts. Strong expertise in microbial diagnostics and excellent communication skills are essential for this position.

Qualificações

• Master's or PhD in Medical Microbiology, Immunology, or a closely related biomedical discipline.
• Demonstrated expertise in core areas such as microbial pathogenesis, clinical diagnostics, and immunology.
• Familiarity with laboratory procedures and interpretation of diagnostic test results.

Responsabilidades

• Critically assess AI-generated responses in topics such as microbial taxonomy and infectious diseases.
• Categorize model outputs using domain-specific taxonomies for scientific correctness and clinical relevance.
• Create clinical or laboratory scenarios to design and test prompts for AI models.

Conhecimentos

Microbial pathogenesis

Clinical diagnostics

Virology

Fluency in English

Formação académica

Master's or PhD in Medical Microbiology

Descrição da oferta de emprego

OverviewJob Title : Generative AI Associate Analyst (LLM Training – Medical Domain) Location : Remote Employment Type : Flexible Contract Role (Part-time, up to 25 hours weekly) About the Role We are seeking highly qualified professionals with (Master's or PhD) in Medical Microbiology to support the development of state-of-the-art Large Language Models (LLMs).

As a Rater / AI Trainer, you will play a critical role in shaping how AI understands and communicates complex biomedical knowledge, with a specific focus on microbiological sciences.

This role involves evaluating AI-generated responses for scientific accuracy, contextual integrity, and clinical relevance within the field of medical microbiology. Your feedback and annotations will inform the improvement of AI systems used in healthcare education, diagnostics support, public health communication, and biomedical research.

Key Responsibilities

Critically assess AI-generated responses in topics including microbial taxonomy, infectious disease mechanisms, host–pathogen interactions, diagnostic microbiology, antimicrobial resistance, and laboratory methodologies. Apply structured annotation to texts, including labelling for scientific correctness, terminology accuracy, logical structure, and clinical relevance. Categorize model outputs using domain-specific taxonomies (e.g., pathogen type, disease process, diagnostic method).

Create real-world clinical or laboratory scenarios with researchers to design and test prompts to assess the model's reasoning and adaptability to professional contexts (e.g., interpreting culture reports, recommending diagnostic tests, understanding resistance profiles).

Required Qualifications

Master's or PhD in Medical Microbiology, Immunology, or a closely related biomedical discipline.

Demonstrated expertise in core areas such as microbial pathogenesis, clinical diagnostics, virology, bacteriology, parasitology, and immunology.

Familiarity with laboratory procedures, microbiological instrumentation, and interpretation of diagnostic test results (e.g., blood cultures, PCR, AST).

Excellent written communication skills and fluency in English. As part of the project, you are required to complete the English language assessment.

• The assessment is mandatory & non-billable
• If interested, kindly share your updated resume at :
• levelAssociateEmployment typePart-timeJob functionHealth Care Provider, Research, and EducationIndustriesIT Services and IT Consulting